Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Presenting information in a way that is intended to provoke strong emotions or shock the reader.
The article uses sensational language such as 'shocking new evidence' and 'stunning new report' to grab the reader's attention.
Use neutral language to present the information without exaggeration.
Using a headline that does not accurately reflect the content of the article.
The headline suggests that the article will provide an update on all of Donald Trump's legal cases, but it primarily focuses on one specific case involving alleged sharing of sensitive information.
Use a more accurate headline that reflects the content of the article.
Selectively choosing data or information that supports a particular viewpoint while ignoring contradictory data or information.
The article focuses on allegations of Donald Trump sharing sensitive information, but does not provide any counterarguments or alternative perspectives.
Include information or perspectives that provide a balanced view of the allegations.
Leaving out important details or information that could provide a more complete understanding of the topic.
The article does not provide any information about the credibility or reliability of the source that made the allegations against Donald Trump.
Include information about the credibility or reliability of the source to provide a more complete picture.
Using language that favors one side or viewpoint over another.
The article uses language such as 'Trump lawyers' and 'Trump attorneys' instead of neutral terms like 'attorneys for Donald Trump'.
Use neutral language to refer to the parties involved.
Presenting information in a way that favors one side or viewpoint over another.
The article primarily focuses on the arguments and actions of Donald Trump's lawyers, without providing sufficient information about the arguments and actions of the prosecutors.
Include more information about the arguments and actions of the prosecutors to provide a balanced view.
Making claims without providing sufficient evidence or support.
The article states that Donald Trump shared sensitive information, but does not provide any evidence or sources to support this claim.
Include evidence or sources to support the claim about Donald Trump sharing sensitive information.
Using the opinion or endorsement of an authority figure to support a claim or argument.
The article mentions that special counsel Jack Smith is working with prosecutors, implying that his involvement lends credibility to the allegations against Donald Trump.
Avoid relying solely on the involvement of an authority figure to support the allegations.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.